val_evaluator = dict(  # Validation evaluator config
    type='MissingPersonMetric',  # The coco metric used to evaluate AR, AP, and mAP for detection and instance segmentation
    ann_file="/mnt/home2/annonymous/data_2025/split_data/val.json",  # Annotation file path
    # metric=['bbox', 'segm'],  # Metrics to be evaluated, `bbox` for detection and `segm` for instance segmentation
    metric=['bbox'],  # Metrics to be evaluated, `bbox` for detection and `segm` for instance segmentation
    format_only=False,
    backend_args=None,
)

test_evaluator = dict(  # Validation evaluator config
    type='MissingPersonMetric',  # The coco metric used to evaluate AR, AP, and mAP for detection and instance segmentation
    ann_file="/mnt/home2/annonymous/data_2025/split_data/test.json",  # Annotation file path
    # metric=['bbox', 'segm'],  # Metrics to be evaluated, `bbox` for detection and `segm` for instance segmentation
    metric=['bbox'],  # Metrics to be evaluated, `bbox` for detection and `segm` for instance segmentation
    format_only=False,
    backend_args=None,
)